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This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. A cluster runs slurmd on workers but no configured controller partition can accept GPU training jobs. A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs.

This alternative is relevant to Slurm scheduling time limits fairness and preemption but does not directly resolve the current Slurm controller partition setup issue: Inspect partition time limits, QOS priorities, pending reasons, preemption settings and maintenance reservations. Observed scenario: A cluster runs slurmd on workers but no configured controller partition can accept GPU training jobs.

This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current Slurm controller partition setup issue: Install the supported BCM head-node services and preserve configuration data before provisioning and accepting workers. Observed scenario: A cluster runs slurmd on workers but no configured controller partition can accept GPU training jobs. The governing mechanism is: A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines.

That option concerns Pyxis integration with Slurm jobs. A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs.

This alternative is relevant to Slurm scheduling time limits fairness and preemption but does not directly resolve the current Slurm controller partition setup issue: Define queue priority, reservations and preemption or checkpoint controls suited to workload importance. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines. A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs.

This alternative is relevant to Host SSH certificates keys and OS access segregation but does not directly resolve the current Slurm controller partition setup issue: Host administration requires least privilege and credential lifecycle control independently of GPU job permissions. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines.

This alternative is relevant to BCM image provisioning and PXE worker boot but does not directly resolve the current Slurm controller partition setup issue: Managed worker bring-up depends on the boot image and correct network identity, not just physical server power. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines.

That option concerns Linux operating system and kernel module support. A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs.

This alternative is relevant to BCM image provisioning and PXE worker boot but does not directly resolve the current Slurm controller partition setup issue: Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines. The governing mechanism is: A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs. The proportionate action is: Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together.

This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current Slurm controller partition setup issue: The management node reports correct cluster state and consistently deploys an approved image to intended nodes. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines. The governing mechanism is: A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs. The proportionate action is: Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together. A direct check is: Review slurm.conf, controller health, partition listings, node state and a submitted sample job. The acceptance condition is: The requested test job enters the correct partition and runs on an eligible healthy GPU node.

This alternative is relevant to Slurm GPU GRES enumeration and device mapping but does not directly resolve the current Slurm controller partition setup issue: Two concurrent test jobs receive only their intended available GPU devices without oversubscription. Observed scenario: A new Slurm partition includes GPU-less nodes and schedules GPU workloads to the wrong machines.

This alternative is relevant to BCM image provisioning and PXE worker boot but does not directly resolve the current Slurm controller partition setup issue: Validate DHCP/PXE services, provisioned image and node identity mapping, then test clean node reboots. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current Slurm controller partition setup issue: Install the supported BCM head-node services and preserve configuration data before provisioning and accepting workers. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. An administrator changes a production partition's node list without checking user or time policies.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. An administrator changes a production partition's node list without checking user or time policies. A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs.

This alternative is relevant to BCM node categories and role inheritance but does not directly resolve the current Slurm controller partition setup issue: A BCM category groups settings applied to member nodes; untracked manual changes may conflict with managed desired state. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This alternative is relevant to Host SSH certificates keys and OS access segregation but does not directly resolve the current Slurm controller partition setup issue: Host administration requires least privilege and credential lifecycle control independently of GPU job permissions. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. Observed scenario: An administrator changes a production partition's node list without checking user or time policies. The governing mechanism is: A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs. The proportionate action is: Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together.

This alternative is relevant to Slurm GPU GRES enumeration and device mapping but does not directly resolve the current Slurm controller partition setup issue: Inspect slurmd discovery, gres configuration, CUDA_VISIBLE_DEVICES and simultaneous job placement. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This alternative is relevant to Slurm scheduling time limits fairness and preemption but does not directly resolve the current Slurm controller partition setup issue: Inspect partition time limits, QOS priorities, pending reasons, preemption settings and maintenance reservations. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This alternative is relevant to BCM image provisioning and PXE worker boot but does not directly resolve the current Slurm controller partition setup issue: The intended worker reliably reboots into the approved OS and image with the right management identity. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This alternative is relevant to BCM high availability and management failover but does not directly resolve the current Slurm controller partition setup issue: A planned primary outage transfers management to standby without losing cluster configuration integrity. Observed scenario: An administrator changes a production partition's node list without checking user or time policies.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm controller partition setup: Declare a Slurm cluster ready because slurmd starts, even if there is no usable GPU partition or active controller. Observed scenario: An administrator changes a production partition's node list without checking user or time policies. The governing mechanism is: A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs. The proportionate action is: Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together. A direct check is: Review slurm.conf, controller health, partition listings, node state and a submitted sample job. The acceptance condition is: The requested test job enters the correct partition and runs on an eligible healthy GPU node.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm GPU GRES enumeration and device mapping: Assume GPU count in nvidia-smi automatically updates Slurm resource declarations and MIG mappings.

This alternative is relevant to Linux operating system and kernel module support but does not directly resolve the current Slurm GPU GRES enumeration and device mapping issue: Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout. Observed scenario: A worker physically has eight GPUs but Slurm reports only four general resources and leaves capacity idle.

This alternative is relevant to BCM high availability and management failover but does not directly resolve the current Slurm GPU GRES enumeration and device mapping issue: Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries. Observed scenario: A worker physically has eight GPUs but Slurm reports only four general resources and leaves capacity idle.

This alternative is relevant to BCM node categories and role inheritance but does not directly resolve the current Slurm GPU GRES enumeration and device mapping issue: Define explicit BCM node categories and managed overrides for shared hardware and service configuration. Observed scenario: A worker physically has eight GPUs but Slurm reports only four general resources and leaves capacity idle.

This tempting but unsafe shortcut is not a sufficient remediation for Slurm GPU GRES enumeration and device mapping: Assume GPU count in nvidia-smi automatically updates Slurm resource declarations and MIG mappings. Schedulers allocate declared GPU resources; a mismatch between configured GRES and detected devices causes wrong placement.

This alternative is relevant to Linux operating system and kernel module support but does not directly resolve the current Slurm GPU GRES enumeration and device mapping issue: Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests. Observed scenario: A worker physically has eight GPUs but Slurm reports only four general resources and leaves capacity idle.